Evidence map›Paper›PMID 36751363›Full record

ArticleSocial media + society

From Facebook to YouTube: The Potential Exposure to COVID-19 Anti-Vaccine Videos on Social Media.

Anatoliy Gruzd, Deena Abul-Fottouh, Melodie YunJu Song, Alyssa Saiphoo

Abstract read
In one paragraph

Article in Social media + society. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Anatoliy GruzdToronto Metropolitan University, Canada.ORCID https://orcid.org/0000-0003-2366-5163
Deena Abul-FottouhMcMaster University, Canada.
Melodie YunJu SongUniversity of Toronto, Canada.ORCID https://orcid.org/0000-0002-3492-6835
Alyssa SaiphooToronto Metropolitan University, Canada.ORCID https://orcid.org/0000-0002-7942-9285

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article examines the role of Facebook and YouTube in potentially exposing people to COVID-19 vaccine-related misinformation. Specifically, to study the potential level of exposure, the article models a uni-directional information-sharing pathway beginning when a Facebook user encounters a vaccine-related post with a YouTube video, follows this video to YouTube, and then sees a list of related videos automatically recommended by YouTube. The results demonstrate that despite the efforts by Facebook and YouTube, COVID-19 vaccine-related misinformation in the form of anti-vaccine videos propagates on both platforms. Because of these apparent gaps in platform-led initiatives to combat misinformation, public health agencies must be proactive in creating vaccine promotion campaigns that are highly visible on social media to overtake anti-vaccine videos' prominence in the network. By examining related videos that a user potentially encounters, the article also contributes practical insights to identify influential YouTube channels for public health agencies to collaborate with on their public service announcements about the importance of vaccination programs and vaccine safety.

Indexed as

COVID-19disinformationFacebookinfodemicmisinformationrecommender algorithmsocial mediasocial network analysisvaccinationYouTube

Identifiers

PMID36751363
PMCPMC9895303

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.